qichaoliu

CRFConv

Continuous Conditional Random Field Convolution for Point Cloud Segmentation

pybind11

Seamless operability between C++11 and Python

ODM

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

TinyPng

图片批量压缩脚本(Python)

BingGPT

Desktop application of new Bing's AI-powered chat (Windows, macOS and Linux)

HEU_KMS_Activator

KeepChatGPT

这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。

ChatGPT

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

ChatGPT-Next-Web

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

ipa

quantumult x 1.0

AppStorePlus-TrollStore

AppStore++ tweak for TrollStore

nvitop

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

SMSBoom

SMSBoom - Deprecate: Due to judicial reasons, the repository has been suspended!

MetaFD

The source codes of Meta-learning for few-shot cross-domain fault diagnosis.

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Clustering-with-Deep-learning

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

IEEE_TGRS_GCN

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.

SuperpixelHierarchy

pegbis

Python implementation of "Efficient Graph-Based Image Segmentation" paper

Linear-Spectral-Cluster-Superpixel

Experiments and comparisons for review of the paper on LSC: Superpixel Segmentation using Linear Spectral Clustering

pytorch-superpixels

A way to use superpixels at run-time with Pytorch

spatialaffinitynetwork

PyTorch Implementation of the paper Learning Affinity via Spatial Propagation Networks

Fast-edge-detection-using-structured-forests

Doll´ar, P., and Zitnick, C. L. 2015. Fast edge detection using structured forests. IEEE transactions on pattern analysis and machine intelligence 37(8):1558–1570

ASAP

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

PyCharm-monokai

Dark color theme for Pycharm by Sublime Text's Monokai Theme.

Others

Hyperspectral-image-classification

2018 IEEE GRSS Data Fusion Contest

deeplearn_hsi

Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR

2018-RemoteSens-FDSSC

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(Remote Sensing 2018)